Fermionic Quantum Turbulence: Pushing the Limits of High-Performance Computing

TL;DR

This paper reports the largest simulations of fermionic quantum turbulence using advanced high-performance computing, revealing insights into dissipation and thermalization in ultracold Fermi gases.

Contribution

It introduces new large-scale simulation techniques and computational improvements, especially in matrix diagonalization, for studying fermionic quantum turbulence.

Findings

Quantified dissipation and thermalization processes.

Used vortex internal structure as a probe of local temperature.

Made simulation data and code publicly available.

Abstract

Ultracold atoms provide a platform for analog quantum computer capable of simulating the quantum turbulence that underlies puzzling phenomena like pulsar glitches in rapidly spinning neutron stars. Unlike other platforms like liquid helium, ultracold atoms have a viable theoretical framework for dynamics, but simulations push the edge of current classical computers. We present the largest simulations of fermionic quantum turbulence to date and explain the computing technology needed, especially improvements in the ELPA library that enable us to diagonalize matrices of record size (millions by millions). We quantify how dissipation and thermalization proceed in fermionic quantum turbulence by using the internal structure of vortices as a new probe of the local effective temperature. All simulation data and source codes are made available to facilitate rapid scientific progress in the field of ultracold Fermi gases.